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The Existence of Maximum Likelihood Estimates from Designed Experiments

Summary: Censored, grouped, ordinal, binary, and count data are often collected in industrial experiments. The paucity of data in typical industrial experiments results in estimability problems when fitting popular regression models to these data types. We present a FORTRAN program, MLECHK, which checks for the existence of maximum likelihood estimates.

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  • Topics:
  • Keywords: Fractional factorial design,Regression analysis,Linear models
  • Author: Hamada, Michael; Tse, S.K.
  • Journal: Journal of Quality Technology